We train the model with 3 sec random crops of the speaker utterances. The architectural hyper-parameters of the ECAPA-TDNN model are the same as in [1]}.
The model achieves a promising EER of 0.69% and a minDCF of 0.0826 on the original VoxCeleb1 (cleaned) verification set.
Additional details can be found in the Voxceleb recipe in SpeechBrain [2]}.
